Data Annotation Jobs in Exton, PA (NOW HIRING)

Working at Chase means making a real difference every day for your customers, your community and
yourself. How? By putting others first, doing what's right and creating solutions that make lives better.
Build your career on our strong foundation and help shape what's nextfor you and for us. Chase, a
leading provider of diverse financial services worldwide, is actively seeking service-center team
members to create lifelong engaged relationships with our customers by delivering superior service and
quality with every customer interaction

As a Data Domain Architect Analyst within Consumer and Community Banking, you will leverage your business expertise and knowledge of JPMorgan Chase products to collaborate effectively with Data Science, Analytics, and Engineering teams. You will be responsible for developing and enhancing machine learning solutions by gathering, curating, annotating, enriching, and validating data. Additionally, you will create taxonomies and other resources to train machine learning models, extract insights, conduct analysis, and potentially generate content.

Job Responsibilities:

• Label and annotate call center transcripts and other datasets to support the development of machine learning models.
• Review and validate the outputs of AI and ML models, ensuring accuracy as well as alignment with business goals and compliance standards.
• Leverage GenAI tools to conduct deep dives into call datasets to uncover opportunities to improve customer experience.
• Provide expert guidance to stakeholders on leveraging ML/AI discovery tools for actionable insights. 
• Draft and refine taxonomies and classification schemas to enhance data organization and model training.
• Identify and escalate anomalies, errors, or unexpected model behaviors, acting as a critical checkpoint in our AI workflow.
• Work closely with data scientists, engineers, and business stakeholders to continuously improve annotation processes and model performance.

Required qualifications, capabilities, and skills:

• Experience with banking products and/or customer service within the financial services industry
• Bachelor's degree in business or comparable discipline; or equivalent level demonstrated in relevant work experience.
• Excellent analytical and problem-solving skills and the ability to pay close attention to detail
• Experience in working with and analyzing large real-world datasets.
• Ability to interpret and apply business context to technical tasks.
• Interest in machine learning and willingness to develop new skills in this area.

Preferred qualifications, capabilities, and skills

• Prior experience with data annotation, conversational analysis, taxonomy development, machine learning projects, and/or quality assurance
• Familiarity with industry annotation and labeling methods.
• Working knowledge of information and data retrieval.

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans